Basic definitions and concepts; data graphics; introduction to probability - the binomial and normal probability distributions; choosing samples; statistical inference - estimation and hypothesis testing; sample size and power; linear regression andcorrelation; analysis of variance; factorial designs; transformations and outliers; experimental design in clinical trials; quality control; validation; computer-intensive methods; nonparametric methods; optimization techniques and screening designs.Appendices: some properties of the variance; comparison of slopes and testing of linearity - determination of relative potency; multiple regression; tables; outlier tests and chemical assays; should a single unexplained failing assay be reason to reject abatch ; answers to exercises.